Data Engineer - Expert (TS/SCI with Poly REQUIRED)

General Dynamics Information Technology•Chantilly, VA

1d•Onsite

About The Position

We are seeking an expert Data Engineer to design, build, and optimize scalable backend systems and data integration solutions. This role requires deep expertise across the full software development lifecycle—from system architecture through deployment—with a focus on data-intensive applications, performance optimization, and cross-platform integration. The ideal candidate thrives in dynamic environments and delivers high-impact solutions supporting mission-critical operations. Backend & System Development Design, develop, and maintain scalable backend systems using languages such as Java, Python, Go, or JavaScript frameworks (e.g., Angular) Architect and implement data integration solutions for both structured and unstructured data Develop and maintain RESTful APIs for real-time and batch processing Build modular, reusable software libraries with clean, well-defined interfaces Data Engineering & ETL Design, build, and optimize ETL pipelines using tools such as Elasticsearch, Kafka, and Airflow Ensure high performance, scalability, and reliability of data workflows Integrate externally developed code into core systems and libraries Cloud & DevOps Deploy and maintain applications in cloud environments (AWS, Azure, GCP) Implement containerization and orchestration using Docker and Kubernetes Develop and maintain CI/CD pipelines to support automated delivery Follow configuration management and infrastructure best practices Software Development Lifecycle Translate business requirements into technical solutions across data and application layers Maintain high code quality through testing, code reviews, and regression analysis Troubleshoot and resolve production issues to improve system stability and data integrity Conduct full lifecycle testing in accordance with established quality standards Application Support Provide bug fixes, enhancements, UI improvements, and access control updates Install, configure, and monitor applications to meet operational needs Deliver user support and ad hoc training as required Collaboration & Quality Assurance Collaborate with configuration managers to integrate internal and external solutions Evaluate and recommend third-party tools, vendors, and technologies Contribute to development standards, methodologies, and release readiness processes

Requirements

Active TS/SCI clearance with Polygraph (required)
Strong proficiency in one or more: Java, Python, Scala, Go, or JavaScript frameworks
Hands-on experience with Kubernetes and Airflow
Experience with relational and NoSQL databases, as well as cloud-native data services
Familiarity with CI/CD pipelines and Docker
Demonstrated ability to work across the full software development lifecycle
Strong analytical, troubleshooting, and communication skills
Bachelor’s degree in Computer Science or a related field (or equivalent combination of education, certifications, and experience)
15+ years of relevant professional experience
US Citizenship Required

Nice To Haves

Experience building data products using Apache Avro
Experience with Apache ActiveMQ

Responsibilities

Design, develop, and maintain scalable backend systems using languages such as Java, Python, Go, or JavaScript frameworks (e.g., Angular)
Architect and implement data integration solutions for both structured and unstructured data
Develop and maintain RESTful APIs for real-time and batch processing
Build modular, reusable software libraries with clean, well-defined interfaces
Design, build, and optimize ETL pipelines using tools such as Elasticsearch, Kafka, and Airflow
Ensure high performance, scalability, and reliability of data workflows
Integrate externally developed code into core systems and libraries
Deploy and maintain applications in cloud environments (AWS, Azure, GCP)
Implement containerization and orchestration using Docker and Kubernetes
Develop and maintain CI/CD pipelines to support automated delivery
Follow configuration management and infrastructure best practices
Translate business requirements into technical solutions across data and application layers
Maintain high code quality through testing, code reviews, and regression analysis
Troubleshoot and resolve production issues to improve system stability and data integrity
Conduct full lifecycle testing in accordance with established quality standards
Provide bug fixes, enhancements, UI improvements, and access control updates
Install, configure, and monitor applications to meet operational needs
Deliver user support and ad hoc training as required
Collaborate with configuration managers to integrate internal and external solutions
Evaluate and recommend third-party tools, vendors, and technologies
Contribute to development standards, methodologies, and release readiness processes

Benefits

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match.
To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available.

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